The paper proposes a neural network technique to adaptively model and characterize digital satellite channels. The neural network model allows to identify each component of the channel by the use of the channel input-output signals as learning data. This technique was applied to fault detection in digital satellite links, especially those arising in on-board devices. The paper gives simulation examples of changes in the on-board filter characteristics. Our adaptive method allows to determine the origins of the changes and gives the new characteristics of the channel.

Additional Metadata
Conference Proceedings of the 1997 IEEE International Conference on Communications, ICC. Part 3 (of 3)
Citation
Ibnkahla, M, Sombrin, J., & Castanie, F. (1997). Neural network identification and characterization of digital satellite channels: Application to fault-detection. In IEEE International Conference on Communications (pp. 1231–1235).